Distributed Systems 课程
分布式系统课程可以帮助您了解网络 Protocol、数据一致性模型、容错和可扩展性挑战。您可以掌握设计分布式算法、管理资源分配和确保跨 Node 数据完整性的技能。许多课程会介绍 Apache Kafka、Kubernetes 和 Docker 等工具，这些工具支持部署和管理 Distribution 应用程序。
热门分布式系统课程和认证
您将获得的技能: Google Gemini, Generative AI, Customer Relationship Management, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), SQL, Google Cloud Platform, Jupyter, Business Workflow Analysis, Big Data, Model Evaluation, Data Analysis Software
您将获得的技能: Distributed Denial-Of-Service (DDoS) Attacks, Network Security, Proxy Servers, Network Monitoring, Intrusion Detection and Prevention, Google Cloud Platform, Firewall, Cloud Security, Network Troubleshooting, Infrastructure Security, Identity and Access Management, Threat Detection, Cloud Infrastructure
您将获得的技能: Load Balancing, Virtual Networking, Google Cloud Platform, Network Performance Management, Hybrid Cloud Computing, Cloud Management, Scalability, TCP/IP, Cloud Security, Distributed Denial-Of-Service (DDoS) Attacks
您将获得的技能: Gemini, Google Workspace, Collaborative Software, OAuth, Enterprise Application Management, Identity and Access Management, AI Enablement, LLM Application, Application Deployment, Information Architecture, Application Programming Interface (API), Data Store
状态：免费试用您将获得的技能: Prompt Engineering, Multimodal Prompts, Generative AI, AI Workflows, AI Orchestration, Microsoft Azure, LLM Application, Artificial Intelligence, Computer Vision, Image Analysis, Applied Machine Learning, Systems Architecture
Google Cloud
您将获得的技能: Google Gemini, Cloud Deployment, Google Cloud Platform, Application Deployment, Cloud Security, Generative AI, Security Controls, Security Engineering, Vulnerability Assessments
Google Cloud
您将获得的技能: Google Gemini, Customer Relationship Management, Generative AI, Applied Machine Learning, Big Data, Predictive Modeling, Query Languages, Data Analysis
状态：免费试用Microsoft
您将获得的技能: Responsible AI, MLOps (Machine Learning Operations), Data Ethics, Azure DevOps Pipelines, Azure DevOps, Model Deployment, Generative AI, AI Workflows, Microsoft Azure, Application Lifecycle Management, CI/CD, Version Control, Model Evaluation, System Monitoring, Continuous Monitoring
您将获得的技能: Data Pipelines, Dataflow, Apache Airflow, Extract, Transform, Load, Data Quality, Data Lakes, PySpark, Data Warehousing, Google Cloud Platform, Workflow Management, Apache Spark, Data Integration, Apache Hadoop, Big Data, Data Processing, Business Intelligence Software, Data Transformation, Cloud Storage
状态：新您将获得的技能: Dataflow, Data Pipelines, Serverless Computing, Data Processing, Identity and Access Management, Data Security, Google Cloud Platform, Distributed Computing, Containerization, Data Storage Technologies
Google Cloud
您将获得的技能: Virtual Networking, Network Monitoring, Google Cloud Platform, Network Troubleshooting, Computer Networking, Network Infrastructure, Network Performance Management, Virtual Machines, Network Analysis, Load Balancing
Google Cloud
您将获得的技能: Gemini, Google Workspace, Productivity Software, Application Deployment, Enterprise Application Management, Collaborative Software, OAuth, AI Enablement, Configuration Management, AWS Identity and Access Management (IAM), Application Programming Interface (API), Data Store
总之，以下是 10 最受欢迎的 distributed systems 课程
- Work with Gemini Models in BigQuery - Bahasa Indonesia: Google Cloud
- Networking in Google Cloud: Network Security - 日本語版: Google Cloud
- Networking in Google Cloud: Load Balancing - Français: Google Cloud
- Accélérer l'échange de connaissances avec Gemini Enterprise: Google Cloud
- Multimodal and cross-modal AI integrations: Microsoft
- Gemini for Security Engineers - 简体中文: Google Cloud
- Work with Gemini Models in BigQuery - 日本語版: Google Cloud
- MLOps and responsible AI practices: Microsoft
- Building Batch Data Pipelines on Google Cloud - 한국어: Google Cloud
- Traitement des données sans serveur avec Dataflow : cours 1: Google Cloud
